The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 361–370 of 458 posts (page 37 of 46)
Can AI Be a Force for Good In Improving Diversity In Hiring?
Khyati Sundaram is the CEO and Chairperson of Applied. Founded in 2016, Applied’s mission is to be the essential platform for unbiased hiring. To that end, the company offers a comprehensive hiring platform relied on by clients like Ogilvy and UNICEF to improve diversity by applying lessons from behavioral science, such as anonymizing applications and…
Four Takeaways From Arize:Observe Unstructured
Arize:Observe Unstructured, our first-ever summit dedicated to helping machine learning teams take their unstructured data initiatives to the next level, wrapped up last week before an audience of nearly 500 technical leaders and practitioners. Now available for on-demand streaming, discussions from the event continue in the Arize community with speakers from Hugging Face, OpenAI, the…
AI At the Forefront of Media and Entertainment
Malav Shah is a Data Scientist II at DIRECTV. He joins DIRECTV from AT&T, where he worked on multiple consumer businesses – including broadband, wireless, and video – and deployed machine learning (ML) models across a wide array of use cases spanning the full customer lifecycle from acquisition to retention. Malav holds a Master’s Degree…
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Introducing Matt Wilson, Arize’s New Head of Sales
Arize is currently hiring over ten positions. Join us! Matt Wilson is Arize’s new Head of Sales. Tasked with helping Arize scale at a critical juncture in the company’s history, Wilson brings a decade of experience working with large enterprises and establishing product-led growth motions. Wilson joins Arize from Pendo, where he was an early…
Deploying Models In An Evolving Housing Market
Chris Murphy is Senior Director and Data Scientist at Homepoint, the nation’s third-largest wholesale mortgage lender. With a commitment to putting people front and center throughout the homebuying experience, Homepoint supports successful homeownership as a crucial element of broader financial security and well-being by delivering long-term value beyond the loan. Behind the scenes, AI plays…
The Modern ML Pipeline with Arize and Kafka
As ML pipelines evolve and become integral to business decisions, more and more data gets consumed and transformed during the lifecycle of building and deploying models. Mobileye, as an isolated example, has collected over 200 petabytes of data to power its self-driving car efforts – or 16 million one-minute videos, each consisting of thousands of…
The Three Types of Observability Your System Needs
This article is written in partnership with Kyle Kirwan, Co-founder and CEO at data observability platform Bigeye What Is Observability? In 1969, humans first stepped on the moon thanks to a lot of clever engineering and 150,000 lines of code. Among other things, this code enabled engineers at mission control to have the full view…
Can Reinforcement Learning Help Fix the Mental Health Crisis?
Stefano Goria is Co-Founder and Chief Technical Officer (CTO) of Thymia, a company aiming to make mental health assessments faster and more accurate through an approach that combines video games based on neuropsychology with analyses of facial microexpressions and speech patterns. Founded in 2020, Thymia’s arrival comes at a time of great need given the…
Monitor Unstructured Data with Arize
Want to try it out? Sign up for your free account, and follow along with our tutorial. We are incredibly excited to announce the first release of our embedding drift monitoring and embedding analysis product. This offering and the architecture that underpins it are the culmination of over a year of work and research, and…
When AI Attacks Earnings
Four steps enterprises can take to avoid their next earnings call becoming a retrospective on AI gone awry AI can power phenomenal revenue growth – until it doesn’t. That lesson is being learned the hard way at a growing number of companies where issues with AI systems are not caught and remedied before materially impacting…
